Condition monitoring of induction motors is a fast emerging technology for online detection
of incipient faults. It avoids unexpected failure of a critical system. Approximately 30-40% of …

Power quality (PQ) interest has increasingly evolved over the past decade. The paper
surveys the application of signal processing, intelligent techniques and optimization …

The relevance of power quality (PQ) issues has recently augmented because of the
increased use of power electronic equipment, which results in a voltage deviation and …

The paper proposes a novel fuzzy pattern recognition system for power quality disturbances.
It is a two-stage system in which a mulitersolution S-transform is used to generate a set of …

This paper presents a wavelet norm entropy-based effective feature extraction method for
power quality (PQ) disturbance classification problem. The disturbance classification …

In this paper, a new approach is presented for the detection and classification of
nonstationary signals in power networks by combining the S-transform and neural networks …

In this paper, an S-transform-based neural network structure is presented for automatic
classification of power quality disturbances. The S-transform (ST) technique is integrated …

An investigation of a fault diagnostic technique for internal combustion engines using
discrete wavelet transform (DWT) and neural network is presented in this paper. Generally …

This paper presents an effective approach to identify power quality (PQ) events based on
IEEE Std 1159-2009 caused by intermittent power sources like those of renewable energy …

The on-line fault diagnostics technology for induction machines is fast emerging for the
detection of incipient faults as to avoid the unexpected failure. Approximately 30-40% faults …